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Beowulf unlocked = new evidence from...

Drout, Michael D.C.

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Beowulf unlocked = new evidence from lexomic analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Beowulf unlocked/ by Michael D.C. Drout ... [et al.].
Reminder of title:	new evidence from lexomic analysis /
other author:	Drout, Michael D.C.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xi, 96 p. :ill., digital ;22 cm.
[NT 15003449]:	Introduction -- Lexomic Methods -- Text Preparation of Beowulf -- Cluster Analysis of Beowulf -- Interpretation of the Cluster Analysis -- Conclusions Drawn from Cluster Analysis -- Bibliography -- Index.
Contained By:	Springer eBooks
Subject:	Linguistics. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-30628-5
ISBN:	9783319306285

Beowulf unlocked = new evidence from lexomic analysis /
Beowulf unlockednew evidence from lexomic analysis /[electronic resource] :by Michael D.C. Drout ... [et al.]. - Cham :Springer International Publishing :2016. - xi, 96 p. :ill., digital ;22 cm.

Introduction -- Lexomic Methods -- Text Preparation of Beowulf -- Cluster Analysis of Beowulf -- Interpretation of the Cluster Analysis -- Conclusions Drawn from Cluster Analysis -- Bibliography -- Index.

The most original and ground-breaking work on Beowulf in several decades, this book uses "lexomic" methods that blend computer-assisted statistical analysis with traditional approaches to reveal new and surprising information about the construction and sources of the greatest surviving Old English poem. Techniques of cluster analysis identify patterns of vocabulary distribution that indicate robust similarities and differences among segments of the poem. The correlation of these patterns with knowledge gained from source-study, philological analysis, and neglected previous scholarship sheds new light on the material of which Beowulf was made and the way it was composed. The implications of this investigation for the dating, structure, and cultural context of Beowulf will overturn the current scholarly consensus and significantly improve our understanding of the poem, its nature, and origins.

ISBN: 9783319306285

Standard No.: 10.1007/978-3-319-30628-5doiSubjects--Uniform Titles:

Beowulf.
Subjects--Topical Terms:

524476
Linguistics.

LC Class. No.: PR1585

Dewey Class. No.: 829.3

Beowulf unlocked = new evidence from lexomic analysis /
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245 0 0 $a Beowulf unlocked $h [electronic resource] : $b new evidence from lexomic analysis / $c by Michael D.C. Drout ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2016.
300 $a xi, 96 p. : $b ill., digital ; $c 22 cm.
505 0 $a Introduction -- Lexomic Methods -- Text Preparation of Beowulf -- Cluster Analysis of Beowulf -- Interpretation of the Cluster Analysis -- Conclusions Drawn from Cluster Analysis -- Bibliography -- Index.
520 $a The most original and ground-breaking work on Beowulf in several decades, this book uses "lexomic" methods that blend computer-assisted statistical analysis with traditional approaches to reveal new and surprising information about the construction and sources of the greatest surviving Old English poem. Techniques of cluster analysis identify patterns of vocabulary distribution that indicate robust similarities and differences among segments of the poem. The correlation of these patterns with knowledge gained from source-study, philological analysis, and neglected previous scholarship sheds new light on the material of which Beowulf was made and the way it was composed. The implications of this investigation for the dating, structure, and cultural context of Beowulf will overturn the current scholarly consensus and significantly improve our understanding of the poem, its nature, and origins.
630 0 0 $a Beowulf. $3 689543
650 1 4 $a Linguistics. $3 524476
650 2 4 $a Language and Literature. $3 2180511
650 2 4 $a Classical and Antique Literature. $3 2210681
650 2 4 $a British and Irish Literature. $3 2181926
700 1 $a Drout, Michael D.C. $3 2210680
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-30628-5
950 $a Social Sciences (Springer-41176)